kama.ai

04/17/2026

Watch Episode 15 with Dr. Kem-Laurin Lubin to hear the full conversation on human agency and AI design.

It’s a perspective every designer working with AI should be thinking about.

https://buff.ly/FRrsLHF

04/14/2026

What are we giving up in exchange for AI-powered efficiency?

In this episode of Responsible AI in Action, Dr. Kem-Laurin Lubin, University of Waterloo, shares why:

Responsible AI must start before procurement
AI systems can quietly erode human agency
Cultural context is critical in AI design
We need stronger accountability from technologists

This is a must-watch for anyone building, buying, or deploying AI systems.

👉 Watch the full episode: https://buff.ly/FRrsLHF

04/07/2026

AI has evolved.

It’s no longer just supporting employees — it’s acting as one.

From customer decisions to financial processes, AI Agents are now executing real business actions.

But here’s the problem:

Most organizations still can’t fully explain how their AI works.

And when AI takes action without accountability, the risks are serious:
• Brand damage
• Regulatory exposure
• Loss of customer trust

AI accountability isn’t a feature you add later.
It must be built into the system from day one.

In our latest blog, we explore how organizations can design AI systems that are:
✔ Transparent
✔ Traceable
✔ Governed in advance

Read more: https://buff.ly/fj8Dx7M

04/02/2026

What does Responsible AI look like when the information you're working with is deeply human, lived experiences, cultural knowledge, and Indigenous identity?

In our Episode Fourteen of Responsible AI in Action, Charles Dimov sits down with Conor Smith, Senior Partner, Senior Planner at , to talk about what it really takes to use AI ethically when the stakes are high, and the margin for error is essentially zero.

Conor's team works with Indigenous communities and purpose-driven organizations where sensitive information isn't just confidential, it's sacred. And they've had to make some hard calls: building a formal AI policy, restricting AI use around indigenous culture and language, and insisting on human review for every single output.

One of the most thought-provoking moments? Conor's argument that an AI system willing to say "I don't know" is actually more trustworthy than one that always has an answer. That kind of honesty is rare, and it matters enormously in high-trust environments.

If you work with sensitive data, serve communities where accuracy is non-negotiable, or are building AI governance for your organization, this episode is for you.

🎙️ Watch Episode 14 now: https://buff.ly/enqeTG0

03/31/2026

AI is increasingly working with sensitive information, including personal and community narratives. That changes everything.

“Mostly accurate” is not enough when context, ownership, and trust are at stake.

Through collaboration with Narratives Inc., and insights from Somia Sadiq — “Stories when received responsibly give us windows into peoples’ lives…there’s not much room to muck around with that” — Responsible Composite AI brings together verified knowledge, governed AI, and human oversight to handle information with care.

Because when stories matter, getting it right matters.
Read more in our blog: https://buff.ly/K6OJEL5

03/23/2026

kama.ai was featured on CBC News discussing AI and Indigenous languages.

Experts emphasized that AI-generated content can appear accurate—but without governance and community oversight, it risks misrepresenting culture or disrupting language preservation efforts.

Responsible AI practices such as Human-in-the-Loop oversight, clear governance, and validation by culturally knowledgeable authorities can help ensure outputs are accurate and trustworthy.

👉 Read more: https://buff.ly/5Ma9Bhb

03/19/2026

AI is moving fast. But without strong data foundations and governance, it can create more risk than value.

In Episode 13 of Responsible AI in Action, Charles Dimov speaks with Adrian Hull, CEO of Locadium, about why governance has become essential in enterprise AI.

They discuss:
• Why AI is not a silver bullet
• How weak data foundations impact AI outcomes
• The risks of fragmented systems and shadow IT
• The importance of human oversight and explainability
• What it takes to move from AI pilots to real deployment

As organizations scale AI, responsible AI practices will be critical to ensuring accuracy, trust, and real business value.

🎧 Watch the episode: https://buff.ly/ZDMQIBy

03/17/2026

Professional services firms operate in a zero-tolerance environment for errors.

Clients rely on their advisors for judgment, accuracy, and trusted expertise. A single incorrect answer can damage credibility, slow decisions, and erode confidence.

Yet many organizations are adopting AI systems that are probabilistic by design. Research from Stanford has shown large language models hallucinating in 58–82% of legal test questions, highlighting why “mostly right” AI can still create real risk in professional environments.

That’s why organizations are beginning to rethink how AI should be designed for advisory work.

Professional-grade AI must prioritize:
• verified knowledge
• traceable answers
• governance before generation

Because when your brand is built on trust, the cost of being wrong is too high.

Read the full blog: https://buff.ly/kok7rby

03/16/2026

Artificial intelligence has the potential to support the revitalization of Indigenous languages and cultural knowledge.

In a new CBC article, kama.ai Founder and CEO discusses why Indigenous leadership is essential as AI becomes part of language learning and cultural preservation efforts.

At kama.ai, we believe AI must be built responsibly—with human oversight, governance, and respect for community knowledge. When done correctly, AI can help support language preservation and knowledge sharing while ensuring communities maintain control over their data and cultural traditions.

Read the CBC article: https://buff.ly/QWEoOX6

AI-generated Indigenous language dictionaries, elders’ teachings and history circulating online could be harming culture and language revitalization efforts, say experts. Some First Nations are turning to structured knowledge system AI, which is curated and controlled by the community.

03/13/2026

Brian Ritchie, Founder and CEO of kama.ai, recently participated in the Assembly of First Nations Education Forum in Vancouver.

The forum brings together First Nations leaders, educators, and advocates from across Canada to share ideas and advance community-driven education systems.

This year’s theme — “Voices for Tomorrow: Lifting Our Nations through Lifelong Learning” — focused on strengthening Indigenous education, supporting language revitalization, and ensuring communities have the tools and knowledge to guide future generations.

As an Indigenous-founded technology company, kama.ai is proud to be part of these conversations about responsible technology, knowledge stewardship, and building stronger futures through education.

Highlights from the forum.

03/06/2026

is pleased to share that our Founder and CEO, , has been appointed Executive in Residence with the

In this volunteer role, Brian will contribute to student development, mentorship, guest lecturing, and community based research initiatives that connect academic learning with real world industry insight.

The program brings experienced executives into the academic environment to help students build professional networks, technical skills, and diverse perspectives in management and innovation.

We are proud to support initiatives that strengthen collaboration between academia and industry while helping prepare the next generation of leaders for a future shaped by responsible innovation and trusted AI.

Learn more about Brian's appointment: https://buff.ly/U0WQLNP



Meet the Executives & Entrepreneurs in Residence at UTSC: https://buff.ly/sfwtDhr

03/05/2026

AI can help museums digitize collections and organize historical archives.

But when AI tells cultural stories, accuracy and community trust become non-negotiable.

In Episode 12 of Responsible AI in Action, Charles Dimov speaks with Brian Joe, Executive Director of the Toronto Ward Museum, about how museums can adopt AI responsibly.

Key insights from the conversation:

🔹 Museums must protect the integrity of cultural and historical narratives
🔹 AI can help catalog and digitize heritage collections faster
🔹 Human-in-the-loop oversight is essential to preserve nuance and context
🔹 Governance and curated knowledge sources help prevent misinformation

As museums expand digital access to collections, responsible AI practices will play a critical role in preserving cultural heritage.

🎧 Watch the full episode: https://buff.ly/uW3nYSv